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Bread Counting on Conveyor Belt Using Ultralytics YOLO11

Automating bread counting on conveyor belts enhances efficiency in bakeries, ensuring accurate packaging, minimizing wastage, and optimizing production workflows. Leveraging Ultralytics YOLO11 for object detection, this solution streamlines the bread production process with precision and speed.

Bread Counting on Conveyor Belt using Ultralytics YOLO11

Hardware, Model, and Dataset Information

  • CPU: Intel® Core™ i5-10400 CPU @ 2.90GHz.
  • GPU: NVIDIA RTX 3050 for real-time processing of conveyor belt data.
  • RAM: 64 GB RAM and 1TB Hard Disk for seamless model execution and data handling.
  • Model: A fine-tuned Ultralytics YOLO11 model specifically optimized for bread detection and counting tasks.
  • Dataset: A proprietary dataset annotated in-house was used to train and validate the model for high accuracy.

Real-World Applications for Bread Counting

  • Automated Packaging: Ensures accurate counting of bread loaves for packaging, reducing manual errors and speeding up the process.
  • Production Monitoring: Tracks production rates in real-time, enabling bakeries to optimize their workflows and meet demand efficiently.
  • Supply Chain Management: Provides precise inventory updates, ensuring seamless coordination between production, packaging, and delivery teams.

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